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Biorxiv : the Preprint Server for Biology
|
April 8, 2024
Generative Adversarial Networks Accurately Reconstruct Pan-Cancer Histology from Pathologic, Genomic, and Radiographic Latent Features
Frederick M Howard, Hanna M Hieromnimon, Siddhi Ramesh, et al.
Science Advances
|
November 15, 2024
Generative adversarial networks accurately reconstruct pan-cancer histology from pathologic, genomic, and radiographic latent features
Frederick M Howard, Hanna M Hieromnimon, Siddhi Ramesh, et al.
Medrxiv : the Preprint Server for Health Sciences
|
July 15, 2025
Deep Learning on Histopathological Images to Predict Breast Cancer Recurrence Risk and Chemotherapy Benefit
Gil Shamai, Shachar Cohen, Yoav Binenbaum, et al.
The Lancet. Oncology
|
March 14, 2026
Deep learning on histopathological images to predict breast cancer recurrence risk and chemotherapy benefit: a multicentre, model development and validation study
Gil Shamai, Shachar Cohen, Yoav Binenbaum, et al.
Radiology. Artificial Intelligence
|
December 11, 2023
External Evaluation of a Mammography-based Deep Learning Model for Predicting Breast Cancer in an Ethnically Diverse Population
Olasubomi J Omoleye, Anna E Woodard, Frederick M Howard, et al.
Genome Medicine
|
August 8, 2025
Building digital histology models of transcriptional tumor programs with generative deep learning for pathology-based precision medicine
Hanna M Hieromnimon, James Dolezal, Kristina Doytcheva, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research
|
November 10, 2025
Machine Learning-Based Prediction of Distant Recurrence Risk and Ribociclib Treatment Effect in HR+/HER2- Early Breast Cancer Using Real-World and NATALEE Data
Frederick M Howard, Peter A Fasching, Cesar A Santa-Maria, et al.
Breast Cancer Research : BCR
|
May 25, 2023
Molecular profiling of a real-world breast cancer cohort with genetically inferred ancestries reveals actionable tumor biology differences between European ancestry and African ancestry patient populations
Minoru Miyashita, Joshua S K Bell, Stephane Wenric, et al.
NPJ Precision Oncology
|
May 29, 2023
Deep learning generates synthetic cancer histology for explainability and education
James M Dolezal, Rachelle Wolk, Hanna M Hieromnimon, et al.
Oral Oncology
|
March 5, 2025
Analysis of AI foundation model features decodes the histopathologic landscape of HPV-positive head and neck squamous cell carcinomas
Hanna M Hieromnimon, Anna Trzcinska, Frank T Wen, et al.
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Search research articles
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Showing results (41-50 of 54) with videos related to
Sort By:
Page
of 6
Biorxiv : the Preprint Server for Biology
|
April 8, 2024
Generative Adversarial Networks Accurately Reconstruct Pan-Cancer Histology from Pathologic, Genomic, and Radiographic Latent Features
Frederick M Howard, Hanna M Hieromnimon, Siddhi Ramesh, et al.
Science Advances
|
November 15, 2024
Generative adversarial networks accurately reconstruct pan-cancer histology from pathologic, genomic, and radiographic latent features
Frederick M Howard, Hanna M Hieromnimon, Siddhi Ramesh, et al.
Medrxiv : the Preprint Server for Health Sciences
|
July 15, 2025
Deep Learning on Histopathological Images to Predict Breast Cancer Recurrence Risk and Chemotherapy Benefit
Gil Shamai, Shachar Cohen, Yoav Binenbaum, et al.
The Lancet. Oncology
|
March 14, 2026
Deep learning on histopathological images to predict breast cancer recurrence risk and chemotherapy benefit: a multicentre, model development and validation study
Gil Shamai, Shachar Cohen, Yoav Binenbaum, et al.
Radiology. Artificial Intelligence
|
December 11, 2023
External Evaluation of a Mammography-based Deep Learning Model for Predicting Breast Cancer in an Ethnically Diverse Population
Olasubomi J Omoleye, Anna E Woodard, Frederick M Howard, et al.
Genome Medicine
|
August 8, 2025
Building digital histology models of transcriptional tumor programs with generative deep learning for pathology-based precision medicine
Hanna M Hieromnimon, James Dolezal, Kristina Doytcheva, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research
|
November 10, 2025
Machine Learning-Based Prediction of Distant Recurrence Risk and Ribociclib Treatment Effect in HR+/HER2- Early Breast Cancer Using Real-World and NATALEE Data
Frederick M Howard, Peter A Fasching, Cesar A Santa-Maria, et al.
Breast Cancer Research : BCR
|
May 25, 2023
Molecular profiling of a real-world breast cancer cohort with genetically inferred ancestries reveals actionable tumor biology differences between European ancestry and African ancestry patient populations
Minoru Miyashita, Joshua S K Bell, Stephane Wenric, et al.
NPJ Precision Oncology
|
May 29, 2023
Deep learning generates synthetic cancer histology for explainability and education
James M Dolezal, Rachelle Wolk, Hanna M Hieromnimon, et al.
Oral Oncology
|
March 5, 2025
Analysis of AI foundation model features decodes the histopathologic landscape of HPV-positive head and neck squamous cell carcinomas
Hanna M Hieromnimon, Anna Trzcinska, Frank T Wen, et al.
Page
of 6